Methodology for Detecting Android Malware and Recognizing Crypto-Mining using Machine Learning

Abstract

The paper proposes an AI procedure for Android malware identification and acknowledgment, including crypto-mining applications utilizing the blockchain. The plan depends on a various leveled order technique, with a few choice stages. A mix of utilitarian and measurable elements is proposed to be applied for information characterization to give a superior exhibition malware acknowledgment process. The particular commitment of this plan procedure is the various leveled classifier with location and separation stages, individually. Further works ought to be finished for different elements puts together to accomplish an upgraded and high-exactness displaying process supporting an imaginative AI based answer for Android malware identification.